课题基金 / 基金详情

DETECT: A Non-Invasive and Automated Real-Time Disease Detection Tool for Cattle

DETECT: A Non-Invasive and Automated Real-Time Disease Detection Tool for Cattle
DETECT:一种针对牛的非侵入性自动化实时疾病检测工具
批准号:
10072590
负责人:
金额:
$86.96万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The proposed project focusses on developing an **AUTOMATED** data-driven **INNOVATION** for **NON-INVASIVE** and **REAL-TIME** monitoring of respiratory disease in dairy-bred calves. Bovine respiratory disease (BRD) is the most serious issue facing beef and dairy farmers, costing the UK sector alone around £80M per annum (Zoetis 2022) through mortality, veterinary costs, increased labour and reduced animal productivity at the point of infection, but also in later life.The **AMBITION** of **DETECT** is to utilise state-of-the-art technology, alongside commercially relevant lower-cost sensors, to characterise the volatile metabolites found on the breath of healthy cattle, and of those diagnosed with respiratory infection. The system will be designed with flexibility in mind -- in that it will be able to integrate into any calf shed/equipment to provide **ADAPTABLE**, **AUTOMATED** and **REAL-TIME** monitoring of disease at the individual animal level.The **KEY OBJECTIVES** of **DETECT**:1.Develop an automated disease-detection system, based on passive measurement of breath from individual calves.2.Identify differences in the breath of healthy and BRD-diagnosed calves, using these findings to optimise a low-cost automated real-time sensor system.3.Apply advanced data analytics to distinguish between breath and cattle shed background, and to develop models for disease detection.4.Demonstrate the ability of the tool to diagnose (sub-) clinical instances of BRD across a range of farm management and feeding systems.5.Develop a user-friendly decision-support platform to aid early health and management decisions by co-designing the platform with end-users and understanding opportunities and challenges.The project will develop the first passive breath monitoring system designed specifically for calves for the early detection of BRD. This will facilitate early intervention and optimise treatment of individual animals. Reducing the impact of disease in younger calves will improve production efficiency and reduce greenhouse gas (GHG) emissions/kg product (through reduced losses associated with mortality and poor performance). Optimised disease management offers aligned societal benefits (improved welfare, optimised antimicrobial use) and will support increased resilience of the UK's beef and dairy sectors.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Non-CG DNA甲基化平衡大豆产量和SMV抗性的分子机制
  • 批准号:
    32301796
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    寻红卫
  • 依托单位:
long non-coding RNA(lncRNA)-activatedby TGF-β(lncRNA-ATB)通过成纤维细胞影响糖尿病创面愈合的机制研究
  • 批准号:
    LQ23H150003
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2023
  • 负责人:
    厉怡
  • 依托单位:
染色体不稳定性调控肺癌non-shedding状态及其生物学意义探索研究
  • 批准号:
    82303936
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    张嘉涛
  • 依托单位:
变分法在双临界Hénon方程和障碍系统中的应用
  • 批准号:
    12301258
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
    王聪
  • 依托单位: